Show HN: Janus – Go binary that runs GGUF models via Vulkan on AMD/Intel/Nvidia (github.com)

Janus is a newly released Go binary that enables users to run GGUF models locally on their machines, leveraging Vulkan API support for GPUs from AMD, Intel, and Nvidia, or simply using the CPU for inference. This tool simplifies the process of deploying AI models by providing an OpenAI-compatible API and a built-in web UI, requiring no additional dependencies like Python or Docker. Users can interact with Janus through the command line, scripts, or a graphical interface, allowing for flexible integration into various workflows. The significance of Janus lies in its ability to streamline local model inference, making advanced AI tools more accessible to developers and enthusiasts who prefer not to deal with complicated setups. With features such as hot-swapping models without restarting, built-in utilities for document processing, and an option for basic authentication, Janus is positioned as a versatile solution for AI application development. Its support for easy model management and execution can enhance productivity and experimentation in the AI/ML community, encouraging more developers to run powerful local inference on diverse hardware configurations.